{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "这节课我们需要熟悉两个非常重要的数据分析工具包\n",
    "* 科学计算工具包：numpy\n",
    "* 图表绘制工具包：matplotlib\n",
    "* **还有一个很重要的包，我们会在正课中再讲 → 数据分析工具包：pandas"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "# 导入模块"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "1、numpy基础数据结构 → numpy数组是一个多维数组对象，称为ndarray。其由两部分组成：\n",
    "* 实际的数据\n",
    "* 描述这些数据的元数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[1 2 3 4 5 6 7]\n",
      "1\n",
      "(7,)\n",
      "7\n",
      "int32\n",
      "4\n",
      "<memory at 0x0000016DCE9ECB88>\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "array([1, 2, 3, 4, 5, 6, 7])"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ar = np.array([1,2,3,4,5,6,7])\n",
    "print(ar)          # 输出数组，注意数组的格式：中括号，元素之间没有逗号（和列表区分）\n",
    "print(ar.ndim)     # 输出数组维度的个数（轴数），或者说“秩”，维度的数量也称rank\n",
    "print(ar.shape)    # 数组的维度，对于n行m列的数组，shape为（n，m）\n",
    "print(ar.size)     # 数组的元素总数，对于n行m列的数组，元素总数为n*m\n",
    "print(ar.dtype)    # 数组中元素的类型，类似type()（注意了，type()是函数，.dtype是方法）\n",
    "print(ar.itemsize) # 数组中每个元素的字节大小，int32l类型字节为4，float64的字节为8\n",
    "print(ar.data)     # 包含实际数组元素的缓冲区，由于一般通过数组的索引获取元素，所以通常不需要使用这个属性。\n",
    "ar   # 交互方式下输出，会有array(数组)\n",
    "\n",
    "# 数组的基本属性\n",
    "# ① 数组的维数称为秩（rank），一维数组的秩为1，二维数组的秩为2，以此类推\n",
    "# ② 在NumPy中，每一个线性的数组称为是一个轴（axes），秩其实是描述轴的数量：\n",
    "# 比如说，二维数组相当于是两个一维数组，其中第一个一维数组中每个元素又是一个一维数组\n",
    "# 所以一维数组就是NumPy中的轴（axes），第一个轴相当于是底层数组，第二个轴是底层数组里的数组。\n",
    "# 而轴的数量——秩，就是数组的维数。 "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[0 1 2 3 4 5 6 7 8 9] <class 'numpy.ndarray'> int32\n",
      "[1.   2.   3.14 4.   5.  ] <class 'numpy.ndarray'> float64\n",
      "[['1' '2' '3']\n",
      " ['a' 'b' 'c']] (2, 3) 2 6\n",
      "[list([1, 2, 3]) ('a', 'b', 'c', 'd')] (2,) 1 2\n"
     ]
    }
   ],
   "source": [
    "# 创建数组：array()函数，括号内可以是列表、元祖、数组、生成器等\n",
    "\n",
    "ar1 = np.array(range(10))   # 整型\n",
    "ar2 = np.array([1,2,3.14,4,5])   # 浮点型\n",
    "ar3 = np.array([[1,2,3],('a','b','c')])   # 二维数组：嵌套序列（列表，元祖均可）\n",
    "ar4 = np.array([[1,2,3],('a','b','c','d')])   # 注意嵌套序列数量不一会怎么样\n",
    "print(ar1,type(ar1),ar1.dtype)\n",
    "print(ar2,type(ar2),ar2.dtype)\n",
    "print(ar3,ar3.shape,ar3.ndim,ar3.size)     # 二维数组，共6个元素\n",
    "print(ar4,ar4.shape,ar4.ndim,ar4.size)     # 一维数组，共2个元素"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[0 1 2 3 4 5 6 7 8 9]\n",
      "[0. 1. 2. 3. 4. 5. 6. 7. 8. 9.]\n",
      "[ 5  6  7  8  9 10 11]\n",
      "[ 5.  7.  9. 11.]\n",
      "[   0    1    2 ... 9997 9998 9999]\n"
     ]
    }
   ],
   "source": [
    "# 创建数组：arange()，类似range()，在给定间隔内返回均匀间隔的值。\n",
    "\n",
    "print(np.arange(10))    # 返回0-9，整型\n",
    "print(np.arange(10.0))  # 返回0.0-9.0，浮点型\n",
    "print(np.arange(5,12))  # 返回5-11\n",
    "print(np.arange(5.0,12,2))  # 返回5.0-12.0，步长为2\n",
    "print(np.arange(10000))  # 如果数组太大而无法打印，NumPy会自动跳过数组的中心部分，并只打印边角："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[0 1 2 3 4 5 6 7 8 9] \n",
      " [0 1 2 3 4 5 6 7 8 9]\n",
      "------\n",
      "[0 1 2 3 4 5 6 7 8 9] \n",
      " [[0 1 2 3 4]\n",
      " [5 6 7 8 9]]\n",
      "[[ 0  1  2  3  4  5  6  7]\n",
      " [ 8  9 10 11 12 13 14 15]\n",
      " [16 17 18 19 20 21 22 23]]\n",
      "[[ 0  1  2  3]\n",
      " [ 4  5  6  7]\n",
      " [ 8  9 10 11]]\n",
      "------\n"
     ]
    }
   ],
   "source": [
    "# 数组形状：.T/.reshape()\n",
    "\n",
    "ar1 = np.arange(10)\n",
    "print(ar1,'\\n',ar1.T)\n",
    "print('------')\n",
    "# .T方法：转置，例如原shape为(3,4)/(2,3,4)，转置结果为(4,3)/(4,3,2) → 所以一维数组转置后结果不变\n",
    "\n",
    "ar2 = ar1.reshape(2,5)     # 用法1：直接将已有数组改变形状             \n",
    "ar3 = np.arange(24).reshape(3,8)   # 用法2：生成数组后直接改变形状\n",
    "ar4 = np.reshape(np.arange(12),(3,4))   # 用法3：参数内添加数组，目标形状\n",
    "print(ar1,'\\n',ar2)\n",
    "print(ar3)\n",
    "print(ar4)\n",
    "print('------')\n",
    "# numpy.reshape(a, newshape, order='C')：为数组提供新形状，而不更改其数据，所以元素数量需要一致！！"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "2、数组简单运算"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[10 11 12]\n",
      " [13 14 15]]\n",
      "[[ 0  2  4]\n",
      " [ 6  8 10]]\n",
      "[[1.         0.5        0.33333333]\n",
      " [0.25       0.2        0.16666667]]\n",
      "[[0.         1.         1.41421356]\n",
      " [1.73205081 2.         2.23606798]]\n",
      "2.5\n",
      "5\n",
      "0\n",
      "1.707825127659933\n",
      "2.9166666666666665\n",
      "15 [3 5 7]\n",
      "[1 2 3 4 5 6]\n"
     ]
    }
   ],
   "source": [
    "ar = np.arange(6).reshape(2,3)\n",
    "print(ar + 10)   # 加法\n",
    "print(ar * 2)   # 乘法\n",
    "print(1 / (ar+1))  # 除法\n",
    "print(ar ** 0.5)  # 幂\n",
    "# 与标量的运算\n",
    "\n",
    "print(ar.mean())  # 求平均值\n",
    "print(ar.max())  # 求最大值\n",
    "print(ar.min())  # 求最小值\n",
    "print(ar.std())  # 求标准差\n",
    "print(ar.var())  # 求方差\n",
    "print(ar.sum(), np.sum(ar,axis = 0))  # 求和，np.sum() → axis为0，按列求和；axis为1，按行求和\n",
    "print(np.sort(np.array([1,4,3,2,5,6])))  # 排序\n",
    "# 常用函数"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "3、索引与切片"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[ 0  1  2  3  4  5  6  7  8  9 10 11 12 13 14 15 16 17 18 19]\n",
      "4\n",
      "[3 4 5]\n",
      "-----\n",
      "[[ 0  1  2  3]\n",
      " [ 4  5  6  7]\n",
      " [ 8  9 10 11]\n",
      " [12 13 14 15]] 数组轴数为2\n",
      "[ 8  9 10 11] 数组轴数为1\n",
      "9\n",
      "[[ 4  5  6  7]\n",
      " [ 8  9 10 11]] 数组轴数为2\n",
      "10\n",
      "[[1 2 3]\n",
      " [5 6 7]]\n",
      "-----\n",
      "[[[0 1]\n",
      "  [2 3]]\n",
      "\n",
      " [[4 5]\n",
      "  [6 7]]] 数组轴数为3\n",
      "[[0 1]\n",
      " [2 3]] 数组轴数为2\n",
      "[0 1] 数组轴数为1\n",
      "1 数组轴数为0\n"
     ]
    }
   ],
   "source": [
    "# 基本索引及切片\n",
    "\n",
    "ar = np.arange(20)\n",
    "print(ar)\n",
    "print(ar[4])\n",
    "print(ar[3:6])\n",
    "print('-----')\n",
    "# 一维数组索引及切片\n",
    "\n",
    "ar = np.arange(16).reshape(4,4)\n",
    "print(ar, '数组轴数为%i' %ar.ndim)   # 4*4的数组\n",
    "print(ar[2],  '数组轴数为%i' %ar[2].ndim)  # 切片为下一维度的一个元素，所以是一维数组\n",
    "print(ar[2][1]) # 二次索引，得到一维数组中的一个值\n",
    "print(ar[1:3],  '数组轴数为%i' %ar[1:3].ndim)  # 切片为两个一维数组组成的二维数组\n",
    "print(ar[2,2])  # 切片数组中的第三行第三列 → 10\n",
    "print(ar[:2,1:])  # 切片数组中的1,2行、2,3,4列 → 二维数组\n",
    "print('-----')\n",
    "# 二维数组索引及切片\n",
    "\n",
    "ar = np.arange(8).reshape(2,2,2)\n",
    "print(ar, '数组轴数为%i' %ar.ndim)   # 2*2*2的数组\n",
    "print(ar[0],  '数组轴数为%i' %ar[0].ndim)  # 三维数组的下一个维度的第一个元素 → 一个二维数组\n",
    "print(ar[0][0],  '数组轴数为%i' %ar[0][0].ndim)  # 三维数组的下一个维度的第一个元素下的第一个元素 → 一个一维数组\n",
    "print(ar[0][0][1],  '数组轴数为%i' %ar[0][0][1].ndim)  \n",
    "# **三维数组索引及切片"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[0 1 2 3 4 5 6 7 8 9]\n",
      "[  0   1   2   3   4 100   6 200 200   9]\n"
     ]
    }
   ],
   "source": [
    "# 数组索引及切片的值更改\n",
    "\n",
    "ar = np.arange(10)\n",
    "print(ar)\n",
    "ar[5] = 100\n",
    "ar[7:9] = 200\n",
    "print(ar)\n",
    "# 一个标量赋值给一个索引/切片时，会自动改变/传播原始数组"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "4、随机数"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[-0.47444269  0.75576101 -0.07071533  1.33525749]\n",
      " [ 1.61123235 -0.65668305 -0.80547721 -0.55564955]\n",
      " [ 0.0761607  -0.19552057  1.33345696 -1.19824119]\n",
      " [-0.22379893 -1.25391594 -0.99178047  0.80295752]]\n"
     ]
    }
   ],
   "source": [
    "# 随机数生成\n",
    "\n",
    "samples = np.random.normal(size=(4,4))\n",
    "print(samples)\n",
    "# 生成一个标准正太分布的4*4样本值"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.0729773499441212 <class 'float'>\n",
      "[0.15126677 0.21664192 0.39667839 0.97740783] <class 'numpy.ndarray'>\n",
      "[[0.83772372 0.29984376 0.47203161]\n",
      " [0.79797601 0.50482903 0.01229983]] <class 'numpy.ndarray'>\n"
     ]
    },
    {
     "data": {
      "image/png": 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PDbUwt83RXMtLVaysnLJSWdW9HKqkvPN5ew5VnEDRRM9VsltbW86Kja778J23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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x2484edd36a0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# numpy.random.rand(d0, d1, ..., dn)：生成一个[0,1)之间的随机浮点数或N维浮点数组 —— 均匀分布\n",
    "\n",
    "a = np.random.rand()\n",
    "print(a,type(a))  # 生成一个随机浮点数\n",
    "\n",
    "b = np.random.rand(4)\n",
    "print(b,type(b))  # 生成形状为4的一维数组\n",
    "\n",
    "c = np.random.rand(2,3)\n",
    "print(c,type(c))  # 生成形状为2*3的二维数组，注意这里不是((2,3))\n",
    "\n",
    "samples1 = np.random.rand(1000)\n",
    "samples2 = np.random.rand(1000)\n",
    "plt.scatter(samples1,samples2)\n",
    "plt.show()\n",
    "# 生成1000个均匀分布的样本值"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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7rAT0gEFbywvFA+zbtz/3c3dgnFmq+EVLwKdWrymMpKA7ceLExhiL1inwFyvS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\nkwAzM7OechJgZmbWU/8Auf8EDOgBGjEAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x2484edd3e10>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#  numpy.random.randn(d0, d1, ..., dn)：生成一个浮点数或N维浮点数组 —— 正态分布\n",
    "\n",
    "samples1 = np.random.randn(1000)\n",
    "samples2 = np.random.randn(1000)\n",
    "plt.scatter(samples1,samples2)\n",
    "plt.show()\n",
    "# randn和rand的参数用法一样\n",
    "# 生成1000个正太的样本值"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "5、对于图片的解析"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "width: 1080 pixels\n",
      "height: 1440 pixels\n",
      "channels: 3 pixels\n"
     ]
    },
    {
     "data": {
      "image/png": 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SB+ha68yKV+0F8wG4icOcIKjjVF0kS8z0v9HZ6NbW+YwkljVe9wooYzt9dUM/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EOGAc2wtRqi8aN6/PT46nGrVZFUoHOcOSJIhzUzYvQjgDaEkDI8lvvYgM3Buf2c9/caNpJCw3yM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\nRnP0ndxL9Og32WWXAtBL2fiLfW7f3+6cq+WWdnui9cvdl27sZznMphfTO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prYWCQpITiN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\nGjFixGXDSJBGjBhx2TASpBEjRlw2/L+ZvP69umqsUAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x2484eda1c88>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import cv2\n",
    "image = cv2.imread('C:/Users/iHJX_Alienware/Desktop/image.jpg')\n",
    "print(\"width: %d pixels\" % (image.shape[1]))\n",
    "print(\"height: %d pixels\" % (image.shape[0]))\n",
    "print(\"channels: %d pixels\" % (image.shape[2]))\n",
    "plt.imshow(image)\n",
    "plt.axis('off')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[29, 32, 46],\n",
       "       [30, 33, 47],\n",
       "       [30, 33, 47],\n",
       "       ...,\n",
       "       [17, 11, 12],\n",
       "       [16, 10, 11],\n",
       "       [14,  8,  9]], dtype=uint8)"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "image[0]"
   ]
  }
 ],
 "metadata": {
  "anaconda-cloud": {},
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}
